Top Data & Analytics Jobs in Pittsburgh, PA

The role involves leading data architecture initiatives, developing AI models, and collaborating with data scientists to optimize data solutions and drive strategic decision-making.

The Capability Manager leads the Power BI reporting strategy, collaborates with stakeholders on data needs, analyzes datasets, and drives innovation to improve business capabilities and outcomes.

The Senior Data Standardization Analyst will standardize product data by collaborating with teams, establishing rules, conducting data analysis, and improving data quality.

The Manager Business Intelligence oversees a team to develop reporting solutions, analyze data, and improve business performance using SQL and Power BI, while managing projects and stakeholder relationships.

The Senior Business Analyst analyzes operational processes, develops business requirements, collaborates with teams, and manages projects for efficiency improvements in healthcare data solutions.

The Digital Channels Product Analyst supports product management by enhancing digital experiences, analyzing performance, managing vendors, and ensuring compliance.

The Scientific Implementation Associate works with R&D teams to onboard customers, configure scientific workflows on the Uncountable platform, and improve data accessibility for experiments.

The Analytics Data Associate will maintain and support analytics systems, upload data, generate reports, assist with client inquiries, and manage risk dashboards.

The Associate, Data Governance is responsible for data analysis, developing reporting processes, ensuring data quality, and collaborating with various teams to implement governance frameworks and processes.

The Data Privacy Specialist ensures enterprise-wide privacy compliance, manages data protection operations, and collaborates with cross-functional teams to enhance privacy practices and compliance with global laws.

The Senior Data Engineer will design and build scalable data platforms, develop event-driven data pipelines, and collaborate with teams to meet technical solutions. Strong expertise in Kafka, Java, and cloud-native applications is required.